Abstract: Data augmentation (DA) is an effective approach for enhancing model performance with limited data, such as light field (LF) image super-resolution (SR). LF images inherently possess rich ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

Hello I'm the Chief of UX at SoCreate. I build things for the web daily & write about the stuff I use/discover/encounter ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...

Hey there! In this tutorial, I’m going to help you understand how Tkinter event binding works. It’s a cool feature in Tkinter that allows you to connect functions to specific events. Basically, when ...

Are you hunting for solutions for creating a perfect data entry resume that can help you get interview calls from your dream company? Here we have provided a guide that can help you gain a complete ...

New research from the Data Provenance Initiative has found a dramatic drop in content made available to the collections used to build artificial intelligence. By Kevin Roose Reporting from San ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Understanding the molecular mechanisms of the interactions between specific compounds ...